US2021358305A1PendingUtilityA1

Vehicle allocation device, vehicle, and terminal

Assignee: TOYOTA MOTOR CO LTDPriority: May 13, 2020Filed: Apr 13, 2021Published: Nov 18, 2021
Est. expiryMay 13, 2040(~13.8 yrs left)· nominal 20-yr term from priority
G06F 18/2431G06N 3/09G06N 3/0895G08G 1/0112G06Q 10/0631G06N 20/00G08G 1/0129G08G 1/202G08G 1/205G08G 1/0145G07C 5/008G07C 9/00571G01C 21/3484G06N 3/04G07C 5/0841
44
PatentIndex Score
0
Cited by
0
References
0
Claims

Abstract

A vehicle allocation device for allocating a vehicle in response to a vehicle allocation request from a user terminal, includes a vehicle selector configured to select a vehicle having a relatively small learning amount in a category learnable while a user is driving from a plurality of vehicles learning a relation between input and output of a parameter related to traveling for each predetermined category in response to acquiring the vehicle allocation request, and output a vehicle allocation instruction to the selected vehicle.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A vehicle allocation device for allocating a vehicle in response to a vehicle allocation request from a user terminal, comprising
 a vehicle selector configured to
 select a vehicle having a relatively small learning amount in a category learnable while a user is driving from a plurality of vehicles learning a relation between input and output of a parameter related to traveling for each of predetermined categories in response to acquiring the vehicle allocation request, and 
 output a vehicle allocation instruction to the selected vehicle. 
   
     
     
         2 . The vehicle allocation device according to  claim 1 , wherein the vehicle selector is configured to
 select a vehicle having a smallest learning amount in the category learnable from the plurality of vehicles, and   output the vehicle allocation instruction to the selected vehicle.   
     
     
         3 . The vehicle allocation device according to  claim 1 , wherein the vehicle selector is configured to select, in response to acquiring the vehicle allocation request from a user who has a lot of travel histories of a certain category among the predetermined categories, a vehicle having a smallest learning amount in the certain category from the plurality of vehicles . 
     
     
         4 . The vehicle allocation device according to  claim 1 , further comprising a travel plan predictor configured to predict a travel plan of the user based on a destination included in the vehicle allocation request and a travel history of the user,
 wherein the vehicle selector is configured to select a vehicle having a smallest learning amount in a category included in a travel plan predicted at the travel plan predictor from the plurality of vehicles.   
     
     
         5 . The vehicle allocation device according to  claim 1 , further comprising a learning unit configured to learn a parameter collected by each of the plurality of vehicles as teacher data. 
     
     
         6 . The vehicle allocation device according to  claim 1 , wherein the parameter includes air temperature, humidity, air pressure, gradient, altitude, engine intake air amount, engine ignition timing, and engine exhaust temperature. 
     
     
         7 . A vehicle adapted to be allocated by a vehicle allocation device in response to a vehicle allocation request from a user terminal, wherein the vehicle is configured to:
 learn a relation between input and output of a parameter related to traveling for each of predetermined categories; and   acquire a vehicle allocation instruction from the vehicle allocation device when a learning amount in a category learnable while the user is driving is relatively smaller than that of another vehicle to be allocated.   
     
     
         8 . The vehicle according to  claim 7 , wherein the vehicle is configured to acquire the vehicle allocation instruction from the vehicle allocation device when having a smallest learning amount in the category learnable while the user is driving as compared to the other vehicle to be allocated. 
     
     
         9 . The vehicle according to  claim 7 , wherein the parameter includes air temperature, humidity, air pressure, gradient, altitude, engine intake air amount, engine ignition timing, and engine exhaust temperature. 
     
     
         10 . A terminal for making a vehicle allocation request to a vehicle allocation device, the terminal comprising
 a vehicle allocation reservation unit configured to
 receive a vehicle allocation reservation from a user, 
 output a vehicle allocation request to the vehicle allocation device based on the vehicle allocation reservation, and 
 acquire information on a vehicle as vehicle-to-be-allocated information by outputting a vehicle allocation request to the vehicle allocation device, the vehicle being selected from a plurality of vehicles learning a relation between input and output of a parameter related to traveling for each of predetermined categories, and having a relatively small learning amount in a category learnable while the user is driving. 
   
     
     
         11 . The terminal according to  claim 10 , wherein the vehicle allocation reservation unit is configured to acquire the information on a vehicle as vehicle-to-be-allocated information by outputting the vehicle allocation request to the vehicle allocation device, the vehicle being selected from the plurality of vehicles learning the relation between input and output of the parameter related to traveling for each of the predetermined categories, and having a smallest learning amount in the category learnable while the user is driving. 
     
     
         12 . The terminal according to  claim 10 , wherein the parameter includes air temperature, humidity, air pressure, gradient, altitude, engine intake air amount, engine ignition timing, and engine exhaust temperature.

Join the waitlist — get patent alerts

Track US2021358305A1 — get alerts on status changes and closely related new filings.

We store only your email — no account needed. See our privacy policy.